Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add redseerdigital/redseer_mcp_trail --skill agami-querygit clone --depth 1 https://github.com/redseerdigital/redseer_mcp_trailWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/redseerdigital/redseer_mcp_trail/agami-query)<a href="https://agentmods.dev/skills/redseerdigital/redseer_mcp_trail/agami-query"><img src="https://agentmods.dev/badge/skills/redseerdigital/redseer_mcp_trail/agami-query/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/redseerdigital/redseer_mcp_trail/agami-query"><img src="https://agentmods.dev/badge/skills/redseerdigital/redseer_mcp_trail/agami-query.svg" alt="Reviewed on agentmods" width="80" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00161 | $0.21199 |
| Opus 5 | $0.00081 | $0.10599 |
| Sonnet 5 | $0.00032 | $0.04240 |
| Haiku 4.5 | $0.00016 | $0.02120 |
Grade D, and why
agami-query scanned grade D with 2 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 9d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Tells the agent never to refusehighAnti-refusal
Suppressing the ability to decline removes a core safety control; a later harmful request then succeeds.
**Unreviewed metrics are USED, not refused.** When the question names a metric whose `review_state ≠ approved`, still use its binding and answer — do NOT block or refuse on it. The trust layer surfaces it as a **warning Asks for rootmediumPrivilege escalation
A mod that escalates privileges can change anything on the machine, not only the project.
`<artifacts_dir>/local/.optins` shape (chmod 600): The source is not reproduced here
A licence we could not identify
The repository carries a LICENSE file, but it is custom or dual enough that GitHub cannot name it and neither can this catalogue. Unknown terms are not permission, so the body is not copied here. Read the licence at the source and decide for yourself.
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 9d ago First seen · 925 lines · 161 tokens per session scan D 2fe217b024e0
agami-query is a skill published in the GitHub repository redseerdigital/redseer_mcp_trail (0 stars, last pushed 1mo ago), with no licence file. It adds 161 tokens to every session and 21,199 once invoked, about $0.0008 per session on Opus 5. A static security scan graded it D with 2 findings (tells the agent never to refuse, asks for root). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
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